# Quick GELU activation

ViT-Huge image encoder based on CLIP architecture, trained on DFN5B dataset, supports quick GELU activation

Vision Transformer model trained on LAION-400M dataset, compatible with both OpenCLIP and timm frameworks

CLIP model with ResNet50 architecture trained on the CC12M dataset, supporting zero-shot image classification tasks

ResNet50 model trained on the YFCC-15M dataset, compatible with both open_clip and timm frameworks, supporting zero-shot image classification tasks.